Seaborn
Seaborn is a graphing library built on top of matplotlib. For a full gallery see the Seaborn documentation
Installation
Seaborn is available on PyPi as seaborn
Create a graph
Line graph
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(style="darkgrid")
# Load an example dataset with long-form data
fmri = sns.load_dataset("fmri")
# Plot the responses for different events and regions
sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri)
Bar graph
This example is for a horizontal barplot with entries sorted in decreasing order. It uses two data series, a total, and then a partial that is some percentage of the total.
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(style="whitegrid")
# Initialize the matplotlib figure
f, ax = plt.subplots(figsize=(6, 15))
# Load the example car crash dataset
crashes = sns.load_dataset("car_crashes").sort_values("total", ascending=False)
# Plot the total crashes
sns.set_color_codes("pastel")
sns.barplot(x="total", y="abbrev", data=crashes, label="Total", color="b")
# Plot the crashes where alcohol was involved
sns.set_color_codes("muted")
sns.barplot(x="alcohol", y="abbrev", data=crashes, label="Alcohol-involved", color="b")
# Add a legend and informative axis label
ax.legend(ncol=2, loc="lower right", frameon=True)
ax.set(xlim=(0, 24), ylabel="", xlabel="Automobile collisions per billion miles")
sns.despine(left=True, bottom=True)
Scatterplot
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(style="whitegrid")
# Load the example diamonds dataset
diamonds = sns.load_dataset("diamonds")
# Draw a scatter plot while assigning point colors and sizes to different
# variables in the dataset
f, ax = plt.subplots(figsize=(6.5, 6.5))
sns.despine(f, left=True, bottom=True)
clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
sns.scatterplot(
x="carat",
y="price",
hue="clarity",
size="depth",
palette="ch:r=-.2,d=.3_r",
hue_order=clarity_ranking,
sizes=(1, 8),
linewidth=0,
data=diamonds,
ax=ax,
)